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A mixed integer linear programming model to regulate the electricity sector

Michael Polemis ()

Letters in Spatial and Resource Sciences, 2018, vol. 11, issue 2, No 7, 183-208

Abstract: Abstract This paper presents a mixed-integer linear programming model for the optimal long-term electricity planning of the Greek wholesale generation system. In order to capture more accurately the technical characteristics of the problem, we have divided the Greek territory into a number of individual interacted networks (geographical zones). In the next stage we solve the system of equations and provide simulation results for the daily/hourly energy prices based on the different scenarios adopted. The empirical findings reveal an inverted-M shaped curve for electricity demand in Greece, while the system marginal price curve also follows a non-linear pattern. Lastly, given the simulations results, we provide the necessary policy implications for government officials, regulators and the rest of the marketers.

Keywords: Electricity market; Linear programming; Constraints; Day-ahead scheduling; Greece (search for similar items in EconPapers)
JEL-codes: C60 Q40 L94 (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s12076-018-0211-8

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